25 citations · 33 across the 4 of their papers we have counts for
5 papers
Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment
Xinying Qiu, Yuan Chen, Hanwu Chen +3
Deep learning models for automatic readability assessment generally discard linguistic features traditionally used in machine learning models for the task. We propose to incorporat…
Embarrassingly Simple Binary Representation Learning
Yuming Shen, Jie Qin, Jiaxin Chen +2
Recent binary representation learning models usually require sophisticated binary optimization, similarity measure or even generative models as auxiliaries. However, one may wonder…
Zero-Shot Sketch-Image Hashing
Yuming Shen, Li Liu, Fumin Shen +1
Recent studies show that large-scale sketch-based image retrieval (SBIR) can be efficiently tackled by cross-modal binary representation learning methods, where Hamming distance ma…
Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval
Yuming Shen, Li Liu, Ling Shao +1
Cross-modal hashing is usually regarded as an effective technique for large-scale textual-visual cross retrieval, where data from different modalities are mapped into a shared Hamm…
Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval
Li Liu, Fumin Shen, Yuming Shen +2
Free-hand sketch-based image retrieval (SBIR) is a specific cross-view retrieval task, in which queries are abstract and ambiguous sketches while the retrieval database is formed w…